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Unraveling the microbial and functional diversity of Coamo thermal spring in Puerto Rico using metagenomic library generation and shotgun sequencing

In Puerto Rico, the microbial diversity of the thermal spring (ThS) in Coamo has never been studied using metagenomics. The focus of our research was to generate a metagenomic library from the ThS of Coamo, Puerto Rico and explore the microbial and functional diversity. The metagenomic library from...

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Autores principales: Padilla-Del Valle, Ricky, Morales-Vale, Luis R., Ríos-Velázquez, Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5219636/
https://www.ncbi.nlm.nih.gov/pubmed/28070487
http://dx.doi.org/10.1016/j.gdata.2016.12.010
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author Padilla-Del Valle, Ricky
Morales-Vale, Luis R.
Ríos-Velázquez, Carlos
author_facet Padilla-Del Valle, Ricky
Morales-Vale, Luis R.
Ríos-Velázquez, Carlos
author_sort Padilla-Del Valle, Ricky
collection PubMed
description In Puerto Rico, the microbial diversity of the thermal spring (ThS) in Coamo has never been studied using metagenomics. The focus of our research was to generate a metagenomic library from the ThS of Coamo, Puerto Rico and explore the microbial and functional diversity. The metagenomic library from the ThS waters was generated using direct DNA isolation. High molecular weight (40 kbp) DNA was end-repaired, electro eluted and ligated into a fosmid vector (pCCFOS1); then transduced into Escherichia coli EPI300-T1(R) using T1 bacteriophages. The library consisted of approximately 6000 clones, 90% containing metagenomic DNA. Next-Generation-Sequencing technology (Illumina MiSeq) was used to process the ThS metagenome. After removing the cloning vector, 122,026 sequences with 33.10 Mbps size and 64% of G + C content were annotated and analyzed using the MG-RAST online server. Bacteria showed to be the most abundant domain (95.84%) followed by unidentified sequences (2.28%), viruses (1.67%), eukaryotes (0.15%), and archaea (0.01%). The most abundant phyla were Proteobacteria (95.03%), followed by unidentified (2.28%), unclassified from viruses (1.74%), Firmicutes (0.20%) and Actinobacteria (0.18%). The most abundant species were Escherichia coli, Polaromonas naphthalenivorans, Albidiferax ferrireducens and Acidovorax sp. Subsystem functional analysis showed that 20% of genes belong to transposable elements, 10% to clustering-based subsystems, and 8% to the production of cofactors. Functional analysis using NOG annotation showed that 82.79% of proteins are poorly characterized indicating the possibility of novel microbial functions and with potential biomedical and biotechnological applications. Metagenomic data was deposited into the NCBI database under the accession number SAMN06131862.
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spelling pubmed-52196362017-01-09 Unraveling the microbial and functional diversity of Coamo thermal spring in Puerto Rico using metagenomic library generation and shotgun sequencing Padilla-Del Valle, Ricky Morales-Vale, Luis R. Ríos-Velázquez, Carlos Genom Data Data in Brief Article In Puerto Rico, the microbial diversity of the thermal spring (ThS) in Coamo has never been studied using metagenomics. The focus of our research was to generate a metagenomic library from the ThS of Coamo, Puerto Rico and explore the microbial and functional diversity. The metagenomic library from the ThS waters was generated using direct DNA isolation. High molecular weight (40 kbp) DNA was end-repaired, electro eluted and ligated into a fosmid vector (pCCFOS1); then transduced into Escherichia coli EPI300-T1(R) using T1 bacteriophages. The library consisted of approximately 6000 clones, 90% containing metagenomic DNA. Next-Generation-Sequencing technology (Illumina MiSeq) was used to process the ThS metagenome. After removing the cloning vector, 122,026 sequences with 33.10 Mbps size and 64% of G + C content were annotated and analyzed using the MG-RAST online server. Bacteria showed to be the most abundant domain (95.84%) followed by unidentified sequences (2.28%), viruses (1.67%), eukaryotes (0.15%), and archaea (0.01%). The most abundant phyla were Proteobacteria (95.03%), followed by unidentified (2.28%), unclassified from viruses (1.74%), Firmicutes (0.20%) and Actinobacteria (0.18%). The most abundant species were Escherichia coli, Polaromonas naphthalenivorans, Albidiferax ferrireducens and Acidovorax sp. Subsystem functional analysis showed that 20% of genes belong to transposable elements, 10% to clustering-based subsystems, and 8% to the production of cofactors. Functional analysis using NOG annotation showed that 82.79% of proteins are poorly characterized indicating the possibility of novel microbial functions and with potential biomedical and biotechnological applications. Metagenomic data was deposited into the NCBI database under the accession number SAMN06131862. Elsevier 2016-12-23 /pmc/articles/PMC5219636/ /pubmed/28070487 http://dx.doi.org/10.1016/j.gdata.2016.12.010 Text en http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data in Brief Article
Padilla-Del Valle, Ricky
Morales-Vale, Luis R.
Ríos-Velázquez, Carlos
Unraveling the microbial and functional diversity of Coamo thermal spring in Puerto Rico using metagenomic library generation and shotgun sequencing
title Unraveling the microbial and functional diversity of Coamo thermal spring in Puerto Rico using metagenomic library generation and shotgun sequencing
title_full Unraveling the microbial and functional diversity of Coamo thermal spring in Puerto Rico using metagenomic library generation and shotgun sequencing
title_fullStr Unraveling the microbial and functional diversity of Coamo thermal spring in Puerto Rico using metagenomic library generation and shotgun sequencing
title_full_unstemmed Unraveling the microbial and functional diversity of Coamo thermal spring in Puerto Rico using metagenomic library generation and shotgun sequencing
title_short Unraveling the microbial and functional diversity of Coamo thermal spring in Puerto Rico using metagenomic library generation and shotgun sequencing
title_sort unraveling the microbial and functional diversity of coamo thermal spring in puerto rico using metagenomic library generation and shotgun sequencing
topic Data in Brief Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5219636/
https://www.ncbi.nlm.nih.gov/pubmed/28070487
http://dx.doi.org/10.1016/j.gdata.2016.12.010
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